Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency
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Summary
Builds and optimizes AI-driven tools to streamline software development lifecycle (SDLC) processes, including CI/CD pipelines, backend services, and AI/ML workflows for engineering efficiency.
- Build CI/CD pipelines
- Build platform capabilities
- Define SDLC standards
- Deliver AI developer productivity tools
- Design backend services
- Drive AI adoption across SDLC
- Enhance observability
- Evaluate AI accuracy and reliability
- Improve performance
- Improve system availability
- Increase maintainability
- Integrate AI and LLM into platforms
- Optimize prompts models and workflows
- Optimize release and deployment systems
- Partner with cross-functional engineering teams
- Promote engineering best practices
- Support safe AI usage
